Population structure of Indian mackerel (Rastrelliger kanagurta) in Java and Bali Island, Indonesia inferred from otolith shape

The Indian mackerel, Rastrelliger kanagurta, is a commercially important resource across Indonesia’s archipelagic waters. Despite its essential role in the fisheries industry, information regarding its population structures for management purposes is still limited. The present study investigates the variability of otolith shape as an efficient tool for stock discrimination. A total of 159 pairs of sagittal otolith were sampled at four localities along the southern Java-Bali coastal waters. Otolith outline was modeled by using Wavelet coefficients and was compared between localities using ANOVA-like permutation test, Canonical Analysis of Principal Coordinates (CAP), and classification test performed using linear discriminant analysis. The results showed significant differences in the shape of otolith between populations, reflected explicitly in the morphological feature of the excisura major. The differences in otolith shape were examined from all localities (ANOVA-like, p0.05), except those otoliths between Palabuhanratu and Pacitan, thus, a mixed stock may occur in these two locations. These findings were also confirmed by the low classification success rate using LDA 44.26%. These results suggested that at least two distinct stocks potentially contributed to the fishery, impacting species management and conservation

An experimental study on the shear property dependency of high-damping rubber bearings

This paper investigates the characteristics of high-damping rubber bearings (HDRBs) through various prototype tests. The characteristics were dependent on the displacements, number of load cycles, frequencies, vertical pressure, temperature, shear deformation capability, and vertical stiffness. The prototype tests showed that the displacement was the most influential factor on the characteristics of the HDRB. The effective stiffness and equivalent damping of the HDRB decreased with the displacement and increased with the frequency. The effective stiffness decreased at higher vertical pressure, while the equivalent damping increased. The equivalent damping was more dependent on the vertical pressure than the effective stiffness. The results show that careful examination is required to design the effective stiffness and equivalent damping ratio while considering the dependencies of the design displacement and excitation velocity

Relative Etiologic Role of Hepatitis B Virus and Hepatitis C Virus in Chronic Liver Diseases and Hepatocellular Carc inoma among Age-Spec i f ic Groups in Ko rea: the Poss ib Ie Presence of Non-B, Non-C Agents

Korea is one of the endemic areas of chronic hepatitis B virus (HBV) infection. To investigate the relative etiologic role of HBV and hepatitis C virus (HCV) in chronic liver diseases (CLD) including hepatocellular carcinoma (HCC) among age-specific groups in Korea, we enrolled consecutively 673 patients with chronic active hepatitis (CAH), 677 patients with liver cirrhosis (LC) and patients with HCC who had been diagnosed in the liver unit at Seoul National University Hospital. HBsAg and anti-HCV were tested using commercially available radioimmunoassay and enzyme immunoassay kits, respectively. From this study, we were reached at suggestion for the possible presence of non-B, non-C type CLD agent(s) by exclusion method. The prevalence rates of HBsAg were 45.3%, 62.5% and 69.3% in patients with CAH, LC and HCC, respectively. The general prevalence rates of anti-HCV in patients with CAH, LC and HCC were 27.3%, 19. 6% and 17%, respectively, and, however, in HBsAg-negative patients with CAH, LC and HCC those were 48.1%, 46.1% and 42.7%, respectively. The coinfection rates of HBV and HCV in patients with CAH, LC and Hec were 1%, 2.4% and 3. 9%, respectively. The rates of CAH, LC and HCC patients who were negative for both HBsAg and anti-HCV and therefore, serologically classified as non-B, non-C type were 28.4%, 20.2% and 17.6%, respectively. There was a significant differeence in mean age between B- and C-type, and Band non-B, non-C type patients with CAH (41.7 vs 54.5 and 50.4 years), LC (48.5 vs 60.1 and 54.9 years) and HCC (51.6 vs 60.4 and 56.1 years) (p < 0.001, respectively). Before the age of 50, the etiology of CAH and LC was almost exclusively HBV, while over the age of 50, the etiologic role of HCV and non-B, non-C was more predominant than that of HBV. In elderly (older than 60 years of age) patients even with HCC, HCV played an etiologic role as important as HBV. In conclusion, H8V is the most common etiologic agent of CLD in Korea. However, HCV and non-B, non-C infection is a more important etiology in elderly patients with CLD older than 50 years of age

M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images

Polyp segmentation is crucial for preventing colorectal cancer a common type of cancer. Deep learning has been used to segment polyps automatically, which reduces the risk of misdiagnosis. Localizing small polyps in colonoscopy images is challenging because of its complex characteristics, such as color, occlusion, and various shapes of polyps. To address this challenge, a novel frequency-based fully convolutional neural network, Multi-Frequency Feature Fusion Polyp Segmentation Network (M3FPolypSegNet) was proposed to decompose the input image into low/high/full-frequency components to use the characteristics of each component. We used three independent multi-frequency encoders to map multiple input images into a high-dimensional feature space. In the Frequency-ASPP Scalable Attention Module (F-ASPP SAM), ASPP was applied between each frequency component to preserve scale information. Subsequently, scalable attention was applied to emphasize polyp regions in a high-dimensional feature space. Finally, we designed three multi-task learning (i.e., region, edge, and distance) in four decoder blocks to learn the structural characteristics of the region. The proposed model outperformed various segmentation models with performance gains of 6.92% and 7.52% on average for all metrics on CVC-ClinicDB and BKAI-IGH-NeoPolyp, respectively.Comment: 5pages. 2023 IEEE International Conference on Image Processing (ICIP). IEEE, 202